Article

ARDSFlag: An NLP/Machine Learning Algorithm to Visualize and Detect High-Probability ARDS Admissions Independent of Provider Recognition and Billing Codes

2022-09-27

Abstract excerpt

Acute respiratory distress syndrome (ARDS) is a type of respiratory failure characterized by bilateral pulmonary infiltrates that cannot be explained entirely by cardiogenic pulmonary edema. ARDS is the primary cause of mortality in COVID-19 patients and one of the leading causes of morbidity and mortality in ICUs. Despite its significance and prevalence, the detection of ARDS remains highly variable and inconsist...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3da39af1-ff67-50d2-8870-c8d6054877e8
DOI: 10.1101/2022.09.27.22280416

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ARDSFlag: An NLP/Machine Learning Algorithm to Visualize and Detect High-Probability ARDS Admissions Independent of Provider Recognition and Billing CodesDOI 10.1101/2022.09.27.22280416Read

Labelling chest x-ray reports using an open-source NLP and ML tool for text data binary classificationSemantic proximity Read

Scalable screening for emergency department missed opportunities for diagnosis using sequential eTriggers and large language modelsSemantic proximity Read

Machine learning for predicting clinical outcomes in emergency department patients with acute respiratory infections: A scoping reviewSemantic proximity Read

Automated assessment of chest CT severity scores in patients suspected of COVID-19 infectionSemantic proximity Read

Predicting Respiratory Decompensation in Mechanically Ventilated Adult ICU PatientsSemantic proximity Read

Risk assessment of acute respiratory failure requiring advanced respiratory support using machine learningSemantic proximity Read

From Voxels to Prognosis: AI-Driven Quantitative Chest CT Analysis Forecasts ICU Requirements in 78 COVID-19 CasesSemantic proximity Read

Diagnostic signature for Heart Failure with Preserved Ejection Fraction (HFpEF): A Machine Learning Approach Using Multi-Modality Electronic Health Record DataSemantic proximity Read

COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray imagesSemantic proximity Read

Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping.Semantic proximity Read

ADVISE: A Machine Learning Framework for Early Recognition of a Surrogate Marker for Ventilator-Associated Pneumonia Using Routinely Collected Critical Care DataSemantic proximity Read

Study COVID-19 Severity of Patients Admitted to Emergency Room (ER) with Chest X-ray ImagesSemantic proximity Read